User-Adaptive Visualizations: An Exploration with GPT-4

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dc.contributor.authorYanez, Fernandoen_US
dc.contributor.authorNobre, Carolinaen_US
dc.contributor.editorArchambault, Danielen_US
dc.contributor.editorNabney, Ianen_US
dc.contributor.editorPeltonen, Jaakkoen_US
dc.date.accessioned2024-05-21T08:51:18Z
dc.date.available2024-05-21T08:51:18Z
dc.date.issued2024
dc.description.abstractData visualizations aim to enhance cognition and data interpretation. However, individual differences impact visual analysis, suggesting a personalized approach may be more effective. Current efforts focus on the study of generating visualizations with Large Language Models, lacking the user personalization component. This project explores using such models, specifically GPT-4, for modifying data visualizations to tailor to individual user characteristics. We developed a study to test GPT-4's ability to generate personalized visualizations. Statistical analysis of our results shows that for some personas, GPT is effective at personalizing the visualization. However, not all personalizations led to statistically significant improvements, suggesting variability in the effectiveness of LLM-driven personalization. These findings underline the importance of further exploring how personalized visualizations can best meet diverse user needs.en_US
dc.description.sectionheadersPapers
dc.description.seriesinformationMachine Learning Methods in Visualisation for Big Data
dc.identifier.doi10.2312/mlvis.20241126
dc.identifier.isbn978-3-03868-256-1
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/mlvis.20241126
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/mlvis20241126
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visualization design and evaluation methods; Information visualization; User models
dc.subjectHuman centered computing → Visualization design and evaluation methods
dc.subjectInformation visualization
dc.subjectUser models
dc.titleUser-Adaptive Visualizations: An Exploration with GPT-4en_US
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Machine Learning Methods in Visualisation for Big Data 2024